← Learning Types

Machine Learning › Learning Types ›

Continual Learning

1895 directly classified papers

Papers per year

Papers

Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models AAAI 2026

Adapt Before Continual Learning AAAI 2026

Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning AAAI 2026

Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data AAAI 2026

Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers AAAI 2026

Data Heterogeneity and Forgotten Labels in Split Federated Learning AAAI 2026

SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency AAAI 2026

HLML-SNN：Fast Continual Learning in Spiking Neural Networks Achieved via Hebbian Learning-Driven Meta-Learning AAAI 2026

Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models AAAI 2026

Learning Adaptive and Expandable Mixture Model for Continual Learning AAAI 2026

R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models AAAI 2026

ConSurv: Multimodal Continual Learning for Survival Analysis AAAI 2026

Forget Less by Learning Together through Concept Consolidation WACV 2026

CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles WACV 2026

MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images WACV 2026

Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations WACV 2026

Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation WACV 2026

MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation WACV 2026

Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning EACL 2026

MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder-LLM Integration in Cross-Lingual Reasoning EACL 2026

Continual Neural Topic Model EACL 2026

No Label? No Problem: Unsupervised Continual Learning for Adaptive Medical ASR EACL 2026

Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning AAAI 2026

ROVER: Robust Generative Continual Identity Unlearning Against Relearning Attacks AAAI 2026

Perturbing to Preserve: Defending Fragile Knowledge in Online Continual Learning AAAI 2026